MIL-OSI Economics: Panasonic Connect to Participate in Trial Experiment of Facial Recognition to Enable Walk-through Ticket Gates at East Japan Railway Company Shinkansen Station

Source: Panasonic

Headline: Panasonic Connect to Participate in Trial Experiment of Facial Recognition to Enable Walk-through Ticket Gates at East Japan Railway Company Shinkansen Station

Panasonic Connect’s facial recognition technology has been developed through more than 40 years of experience in camera image processing and deep learning technology to learn facial features, and has received the world’s highest rating* in the National Institute of Standards and Technology (NIST) facial recognition benchmark test (NIST FRVT 1:1). The system is not easily affected by facial orientation, changes over time, glasses, masks, etc., and can be used comfortably. So far, Panasonic Connect has deployed systems that apply facial recognition technology in such applications as rigorous and smooth identification at airports, ticketless entry at amusement parks, cashless payment at stores, and IC cardless entry/exit at offices, and have performed unique facial recognitions more than 300,000 times a day (according to our own research). The company will continue to contribute to the safe, secure, and efficient operation of various authentication sites by combining the world’s most advanced facial recognition technology with user experience (UX) design, which it has achieved through a series of verification experiments with client companies and other organizations.
About Panasonic Connect’s facial recognition solution (Japanese site)https://connect.panasonic.com/jp-ja/products-services/facial-recognition/top
* On November 6, 2022, it was published that Panasonic Connect ranked number 1 in the NIST FRVT 1:1 Report using “Mugshot” Front Facial data including racial and ageing which False acceptance rate (FAR) of 1/100,000. Also, On March 26, 2024 Panasonic Connect ranked number 1 in the NIST FRVT 1:N in the 2 category using “Mugshot” Front Facial data including ageing, 1.6 million registered users, and “Border” with face data from various angle of the face and deterioration in image quality. 1.6 million registered users.

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